Results 181 to 190 of about 163,856 (247)

Localized Heterogeneous Nucleation for Vapor‐Assisted Sequential Deposition of Metal Halide Perovskites

open access: yesAdvanced Energy Materials, EarlyView.
A compact, nonporous, and highly crystalline layered inorganic precursor formed by thermal evaporation inherently restricts its conversion into the halide perovskite phase during vapor‐assisted hybrid two‐step deposition. Introducing localized heterogeneous nucleation sites during vapor deposition enables deliberate modulation of the inorganic layer's ...
Sung‐Eun Kim   +10 more
wiley   +1 more source

Translational Gap in Biomarker Discovery: Tumor Surface Markers Rarely Mirror Circulating Levels

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Tumor‐associated cell surface proteins are frequently proposed as circulating biomarkers for colorectal cancer (CRC) based on their high tumor expression. However, many candidates identified through tissue‐based analyses fail to translate into clinically useful biomarkers.
Junko Mukohyama   +9 more
wiley   +1 more source

Interaction Between Operator and Assistant Certification Is Associated With Local Recurrence After Laparoscopic Rectal Cancer Surgery: An Ancillary Analysis of the EnSSURE Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
A significant synergistic interaction between operator and assistant certification was associated with a lower risk of local recurrence after laparoscopic rectal cancer surgery. Patients treated by both ESSQS‐qualified operators and assistants had the lowest risk of local recurrence, whereas a single qualification alone was not associated with a ...
Yusuke Sakimura   +114 more
wiley   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

open access: yesAdvanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

open access: yesAdvanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed   +15 more
wiley   +1 more source

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